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The state-of-the-art image restoration model without nonlinear activation functions.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
QualityScaler - image/video AI upscaler app
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.
Slicer extension for automated segmentation of individual teeth in cone-beam CT dental scans using a deep-learning based approach.
Robust Speech Recognition via Large-Scale Weak Supervision
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
coqui-ai / whisperX
Forked from m-bain/whisperXWhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
free, multi-platform focus stacking software
Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
Repository of the CVPR paper "Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected Features".
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations (CVPR2020)
Combines multiple images taken at different focus distances to produce a final image with a greater depth of field
[MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657
A Benchmark Dataset for Automatic Cephalometric Landmark Detection and CVM Stage Classification
🧩 Extend Three.js standard materials with your own shaders!
Code for Few-View Object Reconstruction with Unknown Categories and Camera Poses at 3DV 2024 (oral)
A collection of papers on diffusion models for 3D generation.
[ECCV 2024]"FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting", Zehao Zhu*, Zhiwen Fan*, Yifan Jiang, Zhangyang Wang
Official Implementation for STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians
Effortless data labeling with AI support from Segment Anything and other awesome models.
Mesh collision loss, Deep learnning, Neural network, Pytorch, Python
iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching